Machine Learning Engineer
• Senior-Level
• Hybrid
• Data
Mark status as:
✨ The Role in One Sentence
Aignostics is seeking a Senior Machine Learning Engineer to develop and maintain ML pipelines for cancer research and diagnostics.
📋 What You'll Likely Do
40%: Design, develop, deploy, and maintain robust ML pipelines for scalability and efficiency.
30%: Collaborate with cross-functional teams to translate business requirements into ML solutions.
30%: Contribute to ML infrastructure development, ensuring high coding standards and best practices.
🧑💻 Profiles Doing This Job
High Priority: 4+ years of experience in software development or machine learning.
High Priority: Proficiency in Python and experience with cloud platforms (GCP, AWS, or Azure).
High Priority: Experience with MLOps/DevOps best practices and distributed systems.
📈 How This Role Will Look on Your CV
Developed and maintained scalable ML pipelines in a medical research environment.